neg.constrain: Constraining positive entries in a matrix
In lgl15/cnmtf: Prioritisation of single nucleotide variants using Corrected non-negative matrix tri-factorisation
Description
Usage
Arguments
Value
Author(s)
References
See Also
Description
This function sets to zero the positive elements of a matrix and takes the absolute value of the negative elements.
Usage
1
Arguments
A
Nonnegative matrix A, n x n
Value
A Constrained nonnegative A matrix, n x n
Author(s)
Luis G. Leal, lgl15@imperial.ac.uk
References
C. Boutsidis and E. Gallopoulos, SVD-based initialization: A head start for nonnegative matrix factorization, Pattern Recognition, Elsevier
See Also
Other Factorisation functions: clus.membership,
cnmtf, consensus.clust,
hierarchical.clust,
initialise.UV,
parameters.cnmtf,
plot.parameter,
pos.constrain, psvd.init,
regression.snps, score.cnmtf,
synthetic.gwas
lgl15/cnmtf documentation built on May 28, 2019, 6:33 p.m.
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Description Usage Arguments Value Author(s) References See Also
Description
This function sets to zero the positive elements of a matrix and takes the absolute value of the negative elements.
Usage
1 |
Arguments
A |
Nonnegative matrix A, n x n |
Value
A Constrained nonnegative A matrix, n x n
Author(s)
Luis G. Leal, lgl15@imperial.ac.uk
References
C. Boutsidis and E. Gallopoulos, SVD-based initialization: A head start for nonnegative matrix factorization, Pattern Recognition, Elsevier
See Also
Other Factorisation functions: clus.membership,
cnmtf, consensus.clust,
hierarchical.clust,
initialise.UV,
parameters.cnmtf,
plot.parameter,
pos.constrain, psvd.init,
regression.snps, score.cnmtf,
synthetic.gwas
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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